Evaluate every hypothesis with the rigor of your best one
Make pipeline-defining bets, backed by deep evaluation across every idea worth testing.
Great science isn’t just one smart decision. It’s hundreds of high-stakes ones.
From target selection to asset prioritization, each choice can push a program forward or derail it entirely. But most teams are forced to explore just a fraction of the hypotheses they imagine, limited by time, manual workflows, and cognitive load.
Perceptic builds modular AI workers that mirror how scientists actually think, looping through literature, models, and data using your own tools to replicate entire chains of expert reasoning.
Supercharge your exploration
Your expertise guides every decision: we just remove the handbrakes.
Screen hundreds of kinase targets using the same multifactor logic you apply to your top picks, from structural druggability to clinical precedent and competitive activity.
Evaluate CRISPR knockouts, survival correlations, resistance mechanisms, and combination potential at scale - using the same cross-functional lens you reserve for lead programs.
Sift through transcriptomics, proteomics, and outcomes from 10,000 patients. Define what makes a target "validated" and Perceptic finds the ones that meet your bar.
HOW IT WORKS
Guided by your logic and intuition
Embed your intuition
Train AI workers with your implicit knowledge — how you read papers, make scientific judgments and trade-offs, prioritize experiments. Define what makes a good result in your specific context and watch Perceptic follow your reasoning.
Compound everyone’s expertise
When every individual encodes their thinking, Perceptic compounds insights across your team - scaling intuition, surfacing patterns, and turning implicit knowledge into collective advantage.
Think in branches, not lines
Scientists don't work linearly. Perceptic lets you branch into parallel hypotheses, circle back to promising leads, explore tangential discoveries without losing context or starting over.
Meets you where you are
Whether you're using specialized molecular modeling software, proprietary databases, or niche computational tools, Perceptic integrates with your existing research infrastructure.
MODULAR AI WORKERS
This is not a black box
Perceptic’s AI workers are entirely configurable and behave more like junior scientists than software. Scientists define the logic, constraints, and criteria - embedding their expertise directly into each reasoning chain.
With built-in ensemble modeling and uncertainty quantification, the system flags risk, adapts its path, and stays aligned with your definition of a “good” answer.
Every decision, tool, and data source is tracked. From reasoning chains to raw artifacts, you get full transparency and provenance — so results are auditable, reproducible, and grounded in your domain expertise.
